Real-time Analytics on Urban Trajectory Data for Road Traffic Management

用于道路交通管理的城市轨迹数据实时分析

• 批准号: LP180100018
• 负责人: A/Prof Jiwon Kim
• 金额: $ 23.34万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-08-30 至 2024-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP180100018
• 关键词: Real; time; Analytics; Urban; Trajectory

This project aims to develop real-time analytics and data management capabilities that leverage large-scale urban trajectory data to provide road operators with real-time insights into population movements and enable data-driven, customer-centric network operations. Current traffic management practices rely heavily on aggregate vehicle count data from fixed road sensors, which have limitations in accurately measuring traffic demand and network congestion propagation. This project seeks to develop innovative technologies to use a wide variety of data sources, especially massive trajectories of vehicles moving across the network, to better understand people's travel demands and road usage patterns and thus better manage the transport system.

该项目旨在开发实时分析和数据管理能力，利用大规模城市轨迹数据为道路运营商提供对人口流动的实时洞察，并实现数据驱动的、以客户为中心的网络运营。目前的交通管理实践严重依赖于来自固定道路传感器的汇总车辆计数数据，这在准确测量交通需求和网络拥塞传播方面具有局限性。该项目旨在开发创新技术，利用各种数据源，特别是车辆在网络中移动的大量轨迹，更好地了解人们的出行需求和道路使用模式，从而更好地管理交通系统。